Recommended
Recommended
More Related Content
What's hot
What's hot (20)
Viewers also liked
Similar to HSPHSI
Similar to HSPHSI (20)
HSPHSI
- 3. Percent of non-federal acute care hospitals with adoption of EHR Systems by level of functionality: 2008-2014 Unstructured Data Structured Data “ICD-9: 714 BMI: 21.5 Medication: Methotrexate, 7.5mg PO as a single weekly dose” “….bilateral joint pain and stiffness. Physical exam revealed nodules, swelling, limited range of motion. X-ray showed soft-tissue swelling and early erosions. Blood tests showed presence of rheumatoid factor and elevated SED rate ….” develop disease classification model for patient medical record notes
- 5. Septic arthritis, also known as infectious arthritis, may represent a direct invasion of joint space by various microorganisms, most commonly caused by a variety of bacteria. However, viruses, mycobacteria, and fungi have been implicated. Reactive arthritis is a sterile inflammatory process that usually results from an extra-articular infectious process. Bacteria are the most significant pathogens because of their rapidly destructive nature. For this reason, the current discussion concentrates on the bacterial septic arthritides. Failure to recognize and to appropriately treat septic arthritis results in significant rates of morbidityand mayeven lead to death … … Streptococcal species, such as Streptococcus viridans, S pneumoniae, and group B streptococci, account for 20% of cases. Aerobic gram-negative rods are involved in 20-25% of cases. Most of these infections occur in people who are very young, who are very old, who are diabetic, who are immunosuppressed, and who abuse intravenous drugs. Septic arthritis, also known as infectious arthritis, may represent a direct invasion of joint space by various microorganisms, most commonly caused by a variety of bacteria. However, viruses, mycobacteria, and fungi have been implicated. Reactive arthritis is a sterile inflammatory process that usually results from an extra-articular infectious process. Bacteria are the most significant pathogens because of their rapidly destructive nature. For this reason, the current discussion concentrates on the bacterial septic arthritides. Failure to recognize and to appropriately treat septic arthritis results in significant rates of morbidityand mayeven lead to death … … Streptococcal species, such as Streptococcus viridans, S pneumoniae, and group B streptococci, account for 20% of cases. Aerobic gram-negative rods are involved in 20-25% of cases. Most of these infections occur in people who are very young, who are very old, who are diabetic, who are immunosuppressed, and who abuse intravenous drugs. Knowledge Sources Natural Language Processing Concept Mapping Concept Unique Identifier (CUI): C0085435 reactive arthritis reactive arthritides arthritis reactive Semantic Type: Disease or Syndrome Unified Medical Language System
- 6. Patient 1 Patient 2 Patient 3 … Patient 200 Note-Level CUI Screening: non-main CUI mentioned in >5% of notes including main CUI Patient-Level CUI Screening: Spearman’s Rank Correlation, r > 0
- 7. CUI Patient 1 Patient 2 Patient 3 Patient 4 Patient 5 Main CUI 92 16 44 368 144 C1247884 84 20 59 320 152 C0934556 122 89 153 0 167 r = 1, p = 0.017 r = -0.10, p = 0.95
- 8. Disease Number of Tests Obesity 129 Migraine 71 Septic Arthritis 100 Giant Cell Arteritis 93 Osteoarthritis 66 α = 0.05 αi' Multiple Testing Correction Multiple Testing Problem
- 9. Benjamini-Hochberg Bonferroni Correction Permutation Test 𝜶′ = 𝟎. 𝟎𝟓 # 𝒐𝒇 𝒕𝒆𝒔𝒕𝒔 CUI P1 P2 P3 P4 P5 Main CUI 92 16 44 368 144 C1247884 84 20 59 320 152 C0934556 122 89 153 0 167 CUI P1 P2 P3 P4 P5 Main CUI 16 368 92 144 44 C1247884 84 20 59 320 152 C0934556 122 89 153 0 167 R1 R2 R1* R2*
- 10. polymyalgia rheumatica r = 0.59 temporal artery biopsy r = 0.45 Giant Cell Arteritiscorrelation coefficient 0.0005319149 0.03035306 0.0005818897 # selected: 77 92 78 white: not significant
- 15. Osteoarthritiscorrelation coefficient0.0007462687 3.527381e-16 0.0005846256 # selected: 66 64 66
- 16. Septic Arthritis correlation coefficient0.0004950495 0.02149995 0.0004085588 # selected: 94 99 94
- 17. Discussion • Limitations • Relying on quality of sources • Diseases with multiple names which correspond to different CUIs in the UMLS • Example: Giant Cell Arteritis and Temporal Arteritis • Conclusion and Future Directions
- 18. Acknowledgements Cai Lab and Collaborators • Dr. Tianxi Cai • Dr. Sheng Yu Summer Program in Biostatistics and Computational Biology • Dr. Rebecca Betensky • Tonia Smith • Heather Mattie • Eleanor Murray • Joshua Barback